When surgeons are trained to perform a procedure, the old rule of thumb is “watch one, do one, teach one.” It’s a pretty unforgiving learning curve, which requires a big leap on the part of the trainee surgeon, and isn’t wholly reassuring to patients, either. I’m about to perform a sleeve gastrectomy, a weight-loss procedure in which the size of the stomach is reduced to a fraction (around 15 percent) of its original size. The problem is that I’ve never watched one. I’m diving straight into the “doing” part. Fortunately, that is not quite such an issue since the sleeve gastrectomy operation is a training simulation taking place in virtual reality.
It’s part of a new haptic VR system created by the London-based company Fundamental VR, demonstrated over the weekend as part of the Global Education and Skills Conference in Dubai, United Arab Emirates. Officially launching later this year, the tech uses cutting-edge haptic and VR technology to train the next generation of lifesaving surgeons. Or, in this case, a Digital Trends journalist.
Fundamental’s “Fundamental Surgery” employs off-the-shelf hardware and software that will run on most modern computers. In the case of this demo, that translated to an Acer Windows Mixed Reality VR headset and touch controller built by the company 3D Systems, which uses three motors to provide resistance. With this technology, the team has then built multiple training scenarios which replicate not just the visuals of an operating theater setup, but also the physical sensations that go along with the operation.
For the sleeve gastrectomy demo, this means that as you lift the stomach and start to cut away at it, you feel both its weight and the force of the cutting action. As Fundamental CEO and co-founder Richard Vincent told Digital Trends, it allows trainee surgeons to feel what they’re doing — and to do it over if they are struggling.
“If there’s a part of the operation you have difficulty with, you can repeat that step again and again and again,” Vincent said. “It means you could practice an operation 500 times if you wanted. There’s just no other way to do that. A person will typically make consultant based on 40 procedures.”
Vincent said that the technology is currently being targeted at both industry and also training hospitals. It has already racked up some big-name support from places like the Mayo Clinic, Duke University, Stanford University, and others in the U.S., as well as Guy’s Hospital, King’s College Hospital and more in the U.K.
Let’s hope it works well as a training tool; there is even a chance the surgeon who will operate on you in the future will have trained with it.
San Francisco startup Dimensional advertised for people to walk robot dogs through city streets. The New York Times reported that the job could include carrying a roughly 33-pound robot back to the office if it overheated. A lift home is an awkward requirement for a labor-saving machine.
Keeping the hardware running is only one challenge. Anthropic's robotics tests found that language models mostly failed when controlling joints directly, but did better when directing trained controllers. Giving an AI agent a body doesn't teach it to handle ordinary household objects.
Soon, a mattress protector may be more than a bed cover. Australian medtech company Sleeptite and researchers at RMIT University have received a US patent for FlexiSense, a smart bedding technology that tracks body position and posture to help caregivers identify when older residents may be at risk of falling.
The technology is being developed for Sleeptite’s in-bed monitoring system, REMi, and was recently on display at The MedTech Conference in Boston. A peer-reviewed study in Flexible and Printed Electronics says the sensors can also be made at scale without sacrificing performance or durability.
AI companies spend enormous amounts of time convincing us their technology is safe and secure. But what happens when those same companies become targets of increasingly sophisticated AI-powered attacks? Anthropic, the company behind Claude, is now facing that question. According to a Washington Post report, cybersecurity startup Cathedral discovered vulnerabilities that let its researchers access sensitive information in Anthropic's internal systems.
The researchers used AI agents to identify potential entry points in less than 12 hours. Interestingly, they didn't need to crack Claude itself. Instead, they exploited weaknesses in third-party business applications that Anthropic uses for everyday operations. Anthropic's security testing program disclosed the findings, which allows outside researchers to identify and report vulnerabilities.